DriveFuture: Future-Aware Latent World Models for Autonomous Driving
Fuente:
arXiv
Guardado en:
| Autores principales: | Hong, Yufeng, Zhou, Xiaotian, Li, Yingyan, Zhou, Xiangpo, Liu, Lin, Luo, Yadan, Xu, Shaoqing, Yang, Lei, Song, Ziying |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
por: Song, Ziying, et al.
Publicado: (2025)
por: Song, Ziying, et al.
Publicado: (2025)
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
por: Song, Ziying, et al.
Publicado: (2024)
por: Song, Ziying, et al.
Publicado: (2024)
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
por: jia, Feiyang, et al.
Publicado: (2026)
por: jia, Feiyang, et al.
Publicado: (2026)
Enhancing End-to-End Autonomous Driving with Latent World Model
por: Li, Yingyan, et al.
Publicado: (2024)
por: Li, Yingyan, et al.
Publicado: (2024)
Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures
por: Luo, Yuechen, et al.
Publicado: (2026)
por: Luo, Yuechen, et al.
Publicado: (2026)
FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
por: Lin, Hongbin, et al.
Publicado: (2025)
por: Lin, Hongbin, et al.
Publicado: (2025)
GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving
por: Xu, Shaoqing, et al.
Publicado: (2024)
por: Xu, Shaoqing, et al.
Publicado: (2024)
FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving
por: Xie, Chengen, et al.
Publicado: (2026)
por: Xie, Chengen, et al.
Publicado: (2026)
GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving
por: Liu, Lin, et al.
Publicado: (2025)
por: Liu, Lin, et al.
Publicado: (2025)
Fully Unified Motion Planning for End-to-End Autonomous Driving
por: Liu, Lin, et al.
Publicado: (2025)
por: Liu, Lin, et al.
Publicado: (2025)
UniFuture: A 4D Driving World Model for Future Generation and Perception
por: Liang, Dingkang, et al.
Publicado: (2025)
por: Liang, Dingkang, et al.
Publicado: (2025)
AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
por: Luo, Yuechen, et al.
Publicado: (2025)
por: Luo, Yuechen, et al.
Publicado: (2025)
Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving
por: Liu, Lin, et al.
Publicado: (2025)
por: Liu, Lin, et al.
Publicado: (2025)
MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
por: Sun, Bin, et al.
Publicado: (2025)
por: Sun, Bin, et al.
Publicado: (2025)
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
por: Li, Hongyang, et al.
Publicado: (2023)
por: Li, Hongyang, et al.
Publicado: (2023)
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
por: Zeng, Shuang, et al.
Publicado: (2025)
por: Zeng, Shuang, et al.
Publicado: (2025)
Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving
por: Etchegaray, Djamahl, et al.
Publicado: (2025)
por: Etchegaray, Djamahl, et al.
Publicado: (2025)
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
por: Zheng, Yupeng, et al.
Publicado: (2025)
por: Zheng, Yupeng, et al.
Publicado: (2025)
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
por: Yang, Huitong, et al.
Publicado: (2025)
por: Yang, Huitong, et al.
Publicado: (2025)
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
por: Zhang, Lingjun, et al.
Publicado: (2026)
por: Zhang, Lingjun, et al.
Publicado: (2026)
Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
por: Wang, Linbo, et al.
Publicado: (2026)
por: Wang, Linbo, et al.
Publicado: (2026)
EponaV2: Driving World Model with Comprehensive Future Reasoning
por: Xu, Jiawei, et al.
Publicado: (2026)
por: Xu, Jiawei, et al.
Publicado: (2026)
Collaborative Perception Datasets for Autonomous Driving: A Review
por: Wang, Naibang, et al.
Publicado: (2025)
por: Wang, Naibang, et al.
Publicado: (2025)
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
por: Song, Ziying, et al.
Publicado: (2025)
por: Song, Ziying, et al.
Publicado: (2025)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
por: Wang, Junming, et al.
Publicado: (2024)
por: Wang, Junming, et al.
Publicado: (2024)
VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model
por: Sun, Xiangyu, et al.
Publicado: (2026)
por: Sun, Xiangyu, et al.
Publicado: (2026)
DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
por: Li, Yingyan, et al.
Publicado: (2025)
por: Li, Yingyan, et al.
Publicado: (2025)
LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
por: Luo, Yuechen, et al.
Publicado: (2026)
por: Luo, Yuechen, et al.
Publicado: (2026)
DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving
por: Zhu, Yiyao, et al.
Publicado: (2026)
por: Zhu, Yiyao, et al.
Publicado: (2026)
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
por: Yang, Pengxuan, et al.
Publicado: (2025)
por: Yang, Pengxuan, et al.
Publicado: (2025)
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
por: Shang, Shuyao, et al.
Publicado: (2025)
por: Shang, Shuyao, et al.
Publicado: (2025)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
por: Zhou, Yang, et al.
Publicado: (2026)
por: Zhou, Yang, et al.
Publicado: (2026)
Open 3D World in Autonomous Driving
por: Cheng, Xinlong, et al.
Publicado: (2024)
por: Cheng, Xinlong, et al.
Publicado: (2024)
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
por: Xu, Dongyang, et al.
Publicado: (2024)
por: Xu, Dongyang, et al.
Publicado: (2024)
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
por: Min, Chen, et al.
Publicado: (2024)
por: Min, Chen, et al.
Publicado: (2024)
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
por: Zhang, Bozhou, et al.
Publicado: (2025)
por: Zhang, Bozhou, et al.
Publicado: (2025)
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
por: Zhang, Bozhou, et al.
Publicado: (2025)
por: Zhang, Bozhou, et al.
Publicado: (2025)
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
por: Liu, Mingyu, et al.
Publicado: (2024)
por: Liu, Mingyu, et al.
Publicado: (2024)
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
por: Li, Peizheng, et al.
Publicado: (2025)
por: Li, Peizheng, et al.
Publicado: (2025)
DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving
por: Liu, Xiaolu, et al.
Publicado: (2026)
por: Liu, Xiaolu, et al.
Publicado: (2026)
Ejemplares similares
-
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
por: Song, Ziying, et al.
Publicado: (2025) -
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
por: Song, Ziying, et al.
Publicado: (2024) -
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
por: jia, Feiyang, et al.
Publicado: (2026) -
Enhancing End-to-End Autonomous Driving with Latent World Model
por: Li, Yingyan, et al.
Publicado: (2024) -
Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures
por: Luo, Yuechen, et al.
Publicado: (2026)